| Variable selection for Naïve Bayes classification R Blanquero, E Carrizosa, P Ramírez-Cobo, MR Sillero-Denamiel Computers & Operations Research 135, 105456, 2021 | 81 | 2021 |
| Cost-sensitive feature selection for support vector machines S Benítez-Peña, R Blanquero, E Carrizosa, P Ramírez-Cobo Computers & Operations Research 106, 169-178, 2019 | 64 | 2019 |
| Robust newsvendor problem with autoregressive demand E Carrizosa, AV Olivares-Nadal, P Ramírez-Cobo Computers & Operations Research 68, 123-133, 2016 | 64 | 2016 |
| Wavelet density estimation for stratified size-biased sample P Ramírez, B Vidakovic Journal of Statistical planning and Inference 140 (2), 419-432, 2010 | 63 | 2010 |
| 2D wavelet-based spectra with applications O Nicolis, P Ramírez-Cobo, B Vidakovic Computational Statistics & Data Analysis 55 (1), 738-751, 2011 | 50 | 2011 |
| Nonidentifiability of the two-state Markovian arrival process P Ramírez-Cobo, RE Lillo, MP Wiper Journal of applied probability 47 (3), 630-649, 2010 | 39 | 2010 |
| A 2D wavelet-based multiscale approach with applications to the analysis of digital mammograms P Ramírez-Cobo, B Vidakovic Computational Statistics & Data Analysis 58, 71-81, 2013 | 38 | 2013 |
| Bayesian inference for double Pareto lognormal queues P Ramirez-Cobo, RE Lillo, S Wilson, MP Wiper | 35 | 2010 |
| Time series interpolation via global optimization of moments fitting E Carrizosa, AV Olivares-Nadal, P Ramírez-Cobo European Journal of Operational Research 230 (1), 97-112, 2013 | 28 | 2013 |
| On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19 S Benítez-Peña, E Carrizosa, V Guerrero, MD Jiménez-Gamero, ... European Journal of Operational Research 295 (2), 648-663, 2021 | 27 | 2021 |
| Failure modeling of an electrical N-component framework by the non-stationary Markovian arrival process J Rodríguez, RE Lillo, P Ramírez-Cobo Reliability Engineering & System Safety 134, 126-133, 2015 | 25 | 2015 |
| Bayesian analysis of a queueing system with a long-tailed arrival process P Ramirez, RE Lillo, MP Wiper Communications in Statistics—Simulation and Computation® 37 (4), 697-712, 2008 | 24 | 2008 |
| The Markovian arrival process: A statistical model for daily precipitation amounts P Ramírez-Cobo, X Marzo, AV Olivares-Nadal, JÁ Francoso, E Carrizosa, ... Journal of hydrology 510, 459-471, 2014 | 21 | 2014 |
| Diagnostic classification of digital mammograms by wavelet-based spectral tools: A comparative study EK Hamilton, S Jeon, PR Cobo, KS Lee, B Vidakovic 2011 IEEE International Conference on Bioinformatics and Biomedicine, 384-389, 2011 | 21 | 2011 |
| A wavelet‐based spectral method for extracting self‐similarity measures in time‐varying two‐dimensional rainfall maps P Ramírez‐Cobo, KS Lee, A Molini, A Porporato, G Katul, B Vidakovic Journal of Time Series Analysis 32 (4), 351-363, 2011 | 19 | 2011 |
| A sparsity-controlled vector autoregressive model E Carrizosa, AV Olivares-Nadal, P Ramírez-Cobo Biostatistics 18 (2), 244-259, 2017 | 18 | 2017 |
| A note on the dependence structure of the two-state Markovian arrival process P Ramírez-Cobo, E Carrizosa Journal of Applied Probability 49 (1), 295-302, 2012 | 16 | 2012 |
| A bivariate two-state Markov modulated Poisson process for failure modeling YG Yera, RE Lillo, BF Nielsen, P Ramírez-Cobo, F Ruggeri Reliability Engineering & System Safety 208, 107318, 2021 | 13 | 2021 |
| Fitting procedure for the two-state Batch Markov modulated Poisson process YG Yera, RE Lillo, P Ramírez-Cobo European Journal of Operational Research 279 (1), 79-92, 2019 | 13 | 2019 |
| On support vector machines under a multiple-cost scenario S Benítez-Peña, R Blanquero, E Carrizosa, P Ramírez-Cobo Advances in Data Analysis and Classification 13, 663-682, 2019 | 13 | 2019 |
Emilio CarrizosaIMUS - Universidad de Sevilla, SpainE-mail megerősítve itt: us.es